Google has just launched Gemini 2.5, its new series of AI reasoning models that will enhance performance and accuracy by taking time to “think” before responding to questions. The new model is a leap in AI technology, particularly in creating aesthetically pleasing web applications and agentic coding tools. Gemini 2.5 Pro Experimental, the first in this series, is available on Google AI Studio and the Gemini app for business subscribers to its AI plan.
Gemini 2.5 models are noted for their capability to reason their way through challenges, using strategies like reinforcement learning and chain-of-thought prompting. Gemini 2.5 models are not only restricted to classification and prediction but can study information, come to logical conclusions, and make decisions based on knowledge. Such a feature puts Gemini 2.5 among the top AI reasoning model competitors, which has been rapidly growing since OpenAI launched its first reasoning model in September 2024.
The Gemini 2.5 Pro model performed outstandingly across a broad variety of benchmarks. It is currently leading the LMArena leaderboard, which measures human preference and exhibits extremely high capability and style. On mathematical and scientific benchmarks like GPQA and AIME 2025, Gemini 2.5 Pro leads without using costly test-time techniques. It also scores 18.8% on Humanity’s Last Exam, a set of data meant to quantify the human advantage of knowledge and wisdom, outpacing models developed by OpenAI, Anthropic, and DeepSeek.
In coding challenges, Gemini 2.5 Pro excels in creating visually impressive web apps and agentic code applications. It achieves 63.8% on SWE-Bench Verified, the default benchmark for quantifying agentic code. Though it is surpassed by Anthropic’s Claude 3.7 Sonnet in this specific test, Gemini 2.5 Pro has excellent overall coding ability.
One of the most favorable features of Gemini 2.5 is the large context window. The model now enjoys a supported 1 million token context window that can hold perhaps 750,000 words within a prompt, longer than all of the Lord of the Rings book series combined. Google plans to increase the capacity to a 2 million token context window in the future. The feature allows the model to handle giant datasets and find solutions to difficult problems from countless information sources like text, speech, images, video, and even whole code bases.
Gemini 2.5 has enhanced upon its predecessors in terms of functionalities like native multimodality and deep context window, and businesses and developers are now able to begin testing with Gemini 2.5 Pro in Google AI Studio, to be released shortly on Vertex AI. The model is part of a series of initiatives by Google to infuse reason into all its AI models and enable them to do more ambitious things and assist more powerful, context-rich agents.
The release of Gemini 2.5 is a significant step in AI technology, notably the capacity of AI models to enhance their logic ability. With technology evolving further, models such as Gemini 2.5 will be at the helm of developing autonomous systems with the capability to carry out tasks with lesser human intervention. Yet these sophisticated models are accompanied by higher prices because of the extra computing power needed to make them work. In spite of these issues, Google’s efforts to infuse reasoning functions into its artificial intelligence models reflect the company’s determination to dominate the AI innovation market.
